Emad Barsoum

1.8k total citations · 1 hit paper
7 papers, 622 citations indexed

About

Emad Barsoum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Emad Barsoum has authored 7 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Emad Barsoum's work include Emotion and Mood Recognition (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (2 papers). Emad Barsoum is often cited by papers focused on Emotion and Mood Recognition (2 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (2 papers). Emad Barsoum collaborates with scholars based in United States, Canada and Egypt. Emad Barsoum's co-authors include Cha Zhang, Seyedmahdad Mirsamadi, Sarah Adel Bargal, Cristian Canton Ferrer, John D. Owens, Weitang Liu, Ashish Sirasao, Dong Li, Huchuan Lu and Xu Jia and has published in prestigious journals such as arXiv (Cornell University) and 34th Structures, Structural Dynamics and Materials Conference.

In The Last Decade

Emad Barsoum

5 papers receiving 568 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic speech emotion recognition using recurrent neural networks with local attention

2017 508 citations Seyedmahdad Mirsamadi, Emad Barsoum et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Emad Barsoum United States	3	468	352	268	169	62	7	622
Seyedmahdad Mirsamadi United States	8	385 0.8×	422 1.2×	317 1.2×	95 0.6×	55 0.9×	11	616
Raymond Brueckner Germany	7	398 0.9×	426 1.2×	362 1.4×	95 0.6×	88 1.4×	13	710
Anna Polychroniou United States	5	305 0.7×	302 0.9×	295 1.1×	76 0.4×	54 0.9×	26	558
Sandra Ottl Germany	13	191 0.4×	207 0.6×	192 0.7×	74 0.4×	38 0.6×	20	483
Zhongtian Bao China	7	315 0.7×	193 0.5×	178 0.7×	61 0.4×	99 1.6×	7	481
S. Lalitha India	10	225 0.5×	154 0.4×	168 0.6×	82 0.5×	50 0.8×	29	397
Soroosh Mariooryad United States	13	308 0.7×	232 0.7×	199 0.7×	133 0.8×	57 0.9×	15	467
Bogdan Vlasenko Germany	13	675 1.4×	498 1.4×	453 1.7×	153 0.9×	68 1.1×	49	870
Cate Cox United Kingdom	4	286 0.6×	162 0.5×	169 0.6×	88 0.5×	58 0.9×	4	377
Gilles Degottex Greece	11	270 0.6×	385 1.1×	501 1.9×	111 0.7×	50 0.8×	28	744

Countries citing papers authored by Emad Barsoum

Since Specialization

Citations

This map shows the geographic impact of Emad Barsoum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emad Barsoum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad Barsoum more than expected).

Fields of papers citing papers by Emad Barsoum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emad Barsoum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emad Barsoum. The network helps show where Emad Barsoum may publish in the future.

Co-authorship network of co-authors of Emad Barsoum

This figure shows the co-authorship network connecting the top 25 collaborators of Emad Barsoum. A scholar is included among the top collaborators of Emad Barsoum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emad Barsoum. Emad Barsoum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Li, Zhe, et al.. (2024). DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models. 113–119. 1 indexed citations

2.

Jia, Xu, Takashi Isobe, Huchuan Lu, et al.. (2024). Customizing Text-to-Image Generation with Inverted Interaction. 10901–10909.

3.

Liu, Weitang, Emad Barsoum, & John D. Owens. (2018). Object Localization and Motion Transfer learning with Capsules.. arXiv (Cornell University). 2 indexed citations

4.

Mirsamadi, Seyedmahdad, Emad Barsoum, & Cha Zhang. (2017). Automatic speech emotion recognition using recurrent neural networks with local attention. 2227–2231. 508 indexed citations breakdown →

5.

Bargal, Sarah Adel, Emad Barsoum, Cristian Canton Ferrer, & Cha Zhang. (2016). Emotion recognition in the wild from videos using images. 433–436. 109 indexed citations

6.

Barsoum, Emad, et al.. (2005). A new image comparing technique for content-based image retrieval. 18. 63–69. 1 indexed citations

7.

Barsoum, Emad, et al.. (1993). CONSTITUTIVE RELATIONS AND FINITE ELEMENT ANALYSIS OF NONLINEAR ELASTIC CONTINUA. 34th Structures, Structural Dynamics and Materials Conference. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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